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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
46
Citations
11473
World Ranking
6732
National Ranking
95

Danil V. Prokhorov publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Danil V. Prokhorov sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 271 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Danil V. Prokhorov D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Danil V. Prokhorov sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Danil V. Prokhorov is affiliated with Toyota Motor Corporation (Japan) and has contributed extensively to the fields of Computer Science and Engineering. Their scholarly output spans 46 publications in Computer Science and 26 in Engineering, highlighting a focus on interdisciplinary research.

Their subfields of study include:

  • Artificial Intelligence
  • Control and Systems Engineering
  • Computational Theory and Mathematics
  • Automotive Engineering
  • Computer Vision and Pattern Recognition

Prokhorov's research covers various main topics, particularly:

  • Formal Methods in Verification
  • Adversarial Robustness in Machine Learning
  • Autonomous Vehicle Technology and Safety
  • Fault Detection and Control Systems
  • Neural Networks and Applications
  • Robotic Path Planning Algorithms
  • Simulation Techniques and Applications

Their recent papers include:

  • "Safe Navigation in Human Occupied Environments Using Sampling and Control Barrier Functions," 2021, published at the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • "Risk-Bounded Control Using Stochastic Barrier Functions," 2020, published in IEEE Control Systems Letters
  • "Risk-Bounded Control with Kalman Filtering and Stochastic Barrier Functions," 2021, presented at the 2021 60th IEEE Conference on Decision and Control (CDC)
  • "Force Anticipation and Its Potential Implications on Feedforward and Feedback Human Motor Control," 2020, published in Human Factors The Journal of the Human Factors and Ergonomics Society
  • "Robust acoustic directional sensing enabled by synergy between resonator-based sensor and deep learning," 2024, published in Scientific Reports

The frequent co-authors collaborating with Prokhorov are:

  • Bardh Hoxha
  • Georgios Fainekos
  • Tomoya Yamaguchi
  • Hideki Okamoto
  • Shakiba Yaghoubi

The scientist has published regularly in venues including:

  • arXiv (Cornell University)
  • 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • IEEE Control Systems Letters
  • 2021 60th IEEE Conference on Decision and Control (CDC)
  • Scientific Reports

Best Publications

  • Adaptive critic designs

    D.V. Prokhorov;D.C. Wunsch

  • Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection

    Fan Yang;Lei Zhang;Sijia Yu;Danil Prokhorov

  • MUlti-Store Tracker (MUSTer): A cognitive psychology inspired approach to object tracking

    Zhibin Hong;Zhe Chen;Chaohui Wang;Xue Mei

  • Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks

    E.W. Saad;D.V. Prokhorov;D.C. Wunsch

  • Remote management of vehicle settings

    Setu Madhavi Namburu;Steven F. Kalik;Danil V. Prokhorov

  • Deep Neural Network for Structural Prediction and Lane Detection in Traffic Scene

    Jun Li;Xue Mei;Danil Prokhorov;Dacheng Tao

  • Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning

    Zhiqiang Wan;Hepeng Li;Haibo He;Danil Prokhorov

  • Recurrent neural network based prediction of epileptic seizures in intra- and extracranial EEG

    Arthur Petrosian;Danil V. Prokhorov;Richard Homan;Richard Dasheiff

  • Adaptive critic designs: a case study for neurocontrol

    Danil V. Prokhorov;Roberto A. Santiago;Donald C. Wunsch

  • Tracking via Robust Multi-task Multi-view Joint Sparse Representation

    Zhibin Hong;Xue Mei;Danil Prokhorov;Dacheng Tao

  • Approximation with random bases

    Alexander N. Gorban;Ivan Yu. Tyukin;Danil V. Prokhorov;Konstantin I. Sofeikov

  • Stability analysis of discrete-time recurrent neural networks

    N.E. Barabanov;D.V. Prokhorov

  • Recurrent neural network-based approach for early recognition of Alzheimer's disease in EEG.

    A.A. Petrosian;D.V. Prokhorov;W. Lajara-Nanson;R.B. Schiffer

  • Automotive battery management systems

    B. Pattipati;K. Pattipati;J.P. Christopherson;S.M. Namburu

  • Adaptation and Parameter Estimation in Systems With Unstable Target Dynamics and Nonlinear Parametrization

    I.Yu. Tyukin;D.V. Prokhorov;C. van Leeuwen

  • Model-Free Dual Heuristic Dynamic Programming

    Zhen Ni;Haibo He;Xiangnan Zhong;Danil V. Prokhorov

  • Echo state networks: appeal and challenges

    D. Prokhorov

  • GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming

    Zhen Ni;Haibo He;Dongbin Zhao;Xin Xu

  • Requirements-Driven Test Generation for Autonomous Vehicles With Machine Learning Components

    Cumhur Erkan Tuncali;Georgios Fainekos;Danil Prokhorov;Hisahiro Ito

  • Robust Multitask Multiview Tracking in Videos

    Xue Mei;Zhibin Hong;Danil Prokhorov;Dacheng Tao

  • Adaptation and Parameter Estimation in Systems with Unstable Target Dynamics and Nonlinear Parametrization

    Tyukin Ivan;Danil Prokhorov;Cees van Leeuwen

Frequent Co-Authors

Donald C. Wunsch
Donald C. Wunsch Missouri University of Science and Technology
Krishna R. Pattipati
Krishna R. Pattipati University of Connecticut
Haibin Ling
Haibin Ling Westlake University
Haibo He
Haibo He University of Rhode Island
Dacheng Tao
Dacheng Tao Nanyang Technological University
Dimitar Petrov Filev
Dimitar Petrov Filev Ford Motor Company (United States)
Alexander N. Gorban
Alexander N. Gorban University of Leicester
Eduardo Alonso
Eduardo Alonso City, University of London
Georgios Fainekos
Georgios Fainekos Arizona State University

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